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ml.dtw

ml.dtw uses Dynamic Time Warping to train a model on labeled time-series feature vectors and map input vectors to classification output. Time-series examples added with add or evaluated with map should be delimited by record messages, such as record 1 before samples and record 0 afterward.

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  • Download via Deken.

    Open Pd and go to ToolsFind Externals. Search for ml.lib and install it. Then create an object with declare -lib ml.lib -path ml.lib. Finally, use ml.dtw or any other object from ml.lib.

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